Last data update: 2014.03.03

CBPS

Package: CBPS
Version: 0.11
Date: 2016-05-12
Title: Covariate Balancing Propensity Score
Author: Christian Fong <christianfong@stanford.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Chad Hazlett <chazlett@ucla.edu>, Xiaolin Yang <xiaoliny@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
Maintainer: Christian Fong <christianfong@stanford.edu>
Depends: R (>= 2.14), MASS, MatchIt, nnet, numDeriv
Imports:
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four-valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2015) <http://imai.princeton.edu/research/files/CBGPS.pdf>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates. Recently add the optimal CBPS which chooses the optimal balancing function and results in doubly robust and efficient estimator for the treatment effect.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
Packaged: 2016-05-12 16:04:12 UTC; Christian
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-05-13 00:44:24

● 0 images, 8 functions, 2 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'CBPS' ...
** package 'CBPS' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'CBPS'
    finding HTML links ... done
    Blackwell                               html  
    CBMSM                                   html  
    CBPS                                    html  
    LaLonde                                 html  
    balance                                 html  
    npCBPS                                  html  
    plot.CBMSM                              html  
    plot.CBPS                               html  
    summary.CBPS                            html  
    vcov.CBPS                               html  
** building package indices
** testing if installed package can be loaded
* DONE (CBPS)
Making 'packages.html' ... done